piwik-script

Intern
    Lehrstuhl für Künstliche Intelligenz und Wissenssysteme

    Wick, Christoph

    Dr. Christoph Wick

    University of Würzburg
    Department for Artificial Intelligence
    and Applied Computer Science
    Am Hubland
    D-97074 Würzburg 

    Room:  B015
    Phone: +49 931 / 31 - 82067
    christoph.wick@uni-wuerzburg.de

    PGP-Key: 8E431938 (4A54 9836 DC22 EDDA ED80 992F AE8E FF7A 8E43 1938)

    Projects

    Publications

    • Wick, C., & Puppe, F. {OMMR}4all — a {Semiautomatic} {Online} {Editor} for {Medieval} {Music} {Notations}. In J. Calvo-Zaragoza & A. Pacha (Eds.), 2nd {International} {Workshop} on {Reading} {Music} {Systems} (pp. 31-34). https://sites.google.com/view/worms2019/proceedings
    • Reul, C., Springmann, U., Wick, C., & Puppe, F. State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines. DHd 2019 Digital Humanities: Multimedial & Multimodal. https://zenodo.org/record/2596095#.XK8xy99fiV4
    • Reul, C., Göttel, S., Springmann, U., Wick, C., Würzner, K.-M., & Puppe, F. Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification. Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage.
    • Reul, C., Christ, D., Hartelt, A., Balbach, N., Wehner, M., Springmann, U., Wick, C., Grundig, C., Büttner, A., & Puppe, F. OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings. ArXiv Preprints (submitted to MDPI - Applied Sciences). https://arxiv.org/abs/1909.04032
    • Staff, Symbol and Melody ...
      Wick, C., Hartelt, A., & Puppe, F. Staff, Symbol and Melody Detection of Medieval Manuscripts Written in Square Notation Using Deep Fully Convolutional Networks. Applied Sciences, 9(13), Article 13. https://doi.org/10.3390/app9132646
    • Improving OCR Accuracy on...
      Reul, C., Springmann, U., Wick, C., & Puppe, F. Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning. JLCL, 33(1), 3-24.
    • Comparison of OCR Accurac...
      Wick, C., Reul, C., & Puppe, F. Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus. In JLCL (No. 1; Vols. 33, Issue 1, pp. 79-96).
    • Reul, C., Wick, C., Springmann, U., & Puppe, F. Transfer Learning for OCRopus Model Training on Early Printed Books. http://arxiv.org/abs/1712.05586
    • Wick, C., & Puppe, F. Leaf Identification Using a Deep Convolutional Neural Network. http://arxiv.org/abs/1712.00967
    • Reul, C., Springmann, U., Wick, C., & Puppe, F. Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting. http://arxiv.org/abs/1711.09670
    • Wick, C., & Puppe, F. Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images. http://arxiv.org/abs/1711.07695
    • Playing Music in Just Int...
      Stange, K., Wick, C., & Hinrichsen, H. Playing Music in Just Intonation - A Dynamically Adapting Tuning Scheme. http://arxiv.org/abs/1706.04338
    • Wick, C. Deep Learning. Informatik-Spektrum, 1-5. https://doi.org/10.1007/s00287-016-1013-2
    • Entanglement formation un...
      Wick, C., Um, J., & Hinrichsen, H. Entanglement formation under random interactions. http://arxiv.org/abs/1508.01652

    Teaching

    • Seminar "Aktuelle Trends der künstlichen Intelligenz" - "Deep Learning" (winter term 2015/2016)
    • Künstliche Intelligenz 2 (winter term 2015/2016)
    • Seminar "Aktuelle Trends der künstlichen Intelligenz" - Wissensmodellierung (summer term 2016)
    • Softwaretechnik (summer term 2016)